Principal AI Engineer

Principal AI Engineer

GlobalLogic (Only: Argentina, Peru, Colombia, Chile, Uruguay)

GlobalLogic family

Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment and be part of the forefront of digital transformation!

We offer an opportunity to participate in creating market-defining products using the latest technologies with clients across all industries and sectors. GlobalLogic prioritizes work-life balance, which is why we offer flexible opportunities and options.

Job Description

We’re looking for a teammate with:

The ideal candidate will have hands-on experience building and shipping agentic AI systems,

with deep proficiency in Python and the modern AI engineering stack:

• Python Expertise: Python is your primary language. You write clean, production-grade

code, build robust data pipelines, and are comfortable owning the full lifecycle from

prototype to deployment.

• Agentic Frameworks: Practical experience with LangGraph, LangChain, AgentCore, or

comparable multi-agent orchestration frameworks — including agent routing, state

management, tool use, memory, and evaluation.

• LLM Integration: Demonstrated experience integrating large language models via AWS

Bedrock, Anthropic APIs, or similar — including prompt engineering, context

management, and output validation.

• Data Source Integrations: Hands-on experience connecting applications to modern

data platforms including Snowflake, Apache Iceberg, OpenSearch, or similar. Familiarity

with Qlik Cloud Analytics or Qlik Talend Cloud is a strong plus.

• MCP / Tool-Use Patterns: Familiarity with Model Context Protocol (MCP) or equivalent

patterns for giving agents structured, governed access to external data systems.

• API Development: Experience building production REST APIs using FastAPI or

comparable Python frameworks.

• Cloud Platforms: Hands-on AWS experience, with Bedrock exposure strongly

preferred. Familiarity with IAM, Lambda, and API Gateway a plus.

Beyond technical skills, we’re looking for someone who brings:

• Bias for Action: You ship, instrument, and iterate — you don’t wait for perfect

requirements.

• Strong Communication: Ability to translate complex agentic system behavior to

non-technical stakeholders clearly and concisely.

• Security and Governance Mindset: Awareness of responsible AI practices, data

privacy considerations, and the importance of auditability in agentic systems.

• Collaborative Spirit: Comfortable working across functions and levels, from CSMs to

the C-suite.

Job Responsibilities

Here’s how you’ll be making an impact:

• Build Multi-Agent Pipelines: Design and implement orchestrated multi-agent systems

using LangGraph and AgentCore, including routing logic, evaluation loops, retry

mechanisms, and agent specialization patterns.

• Develop with LangChain: Leverage LangChain to build sophisticated prompt pipelines,

tool-augmented agents, memory constructs, and retrieval-augmented generation

workflows.

• Integrate Across the Data Ecosystem: Build reliable, performant Python integrations

connecting agents to Qlik Cloud Analytics, Qlik Talend Cloud, Snowflake, Apache

Iceberg, OpenSearch, and other data sources via MCP and direct API patterns.

• Connect via MCP: Develop and maintain Python-based integrations with Qlik’s MCP

server to give agents real-time, structured access to Qlik platform data and telemetry.

• Deploy on AWS Bedrock: Leverage AWS Bedrock to host, invoke, and manage

LLM-powered agents at scale, ensuring reliability, cost efficiency, and security

compliance.

• Build FastAPI Services: Develop lightweight, production-ready API services that

expose agentic capabilities to downstream consumers and orchestration platforms.

• Iterate Rapidly: Operate in a fast-moving incubator environment — prototype quickly,

instrument your work, and evolve solutions based on real usage signals.

• Collaborate Cross-Functionally: Partner closely with Customer Success, Sales, and

Analytics stakeholders to translate business requirements into agentic architectures.

Department/Project Description

The AI Systems Engineer Role

As an AI Systems Engineer on Qlik’s AI Practice team, you will design and build

production-grade agentic AI systems that power the next generation of intelligent automation at

Qlik. Reporting to the Global Head of AI Strategy, Policy, and Governance, you will work at the

frontier of multi-agent orchestration — connecting large language models to Qlik’s data

ecosystem and beyond, turning complex data signals into reliable, automated action.

What makes this role interesting?

• Frontier Technology: You’ll work directly with cutting-edge agentic frameworks —

LangGraph, LangChain, AgentCore, MCP — building systems that most engineers are

only reading about.

• Real Impact: The pipelines you build will directly power customer-facing intelligence,

internal automation, and executive decision support across a 40,000+ customer base.

• Collaborative Team: You’ll be embedded in a small, high-velocity AI Practice team with

a direct line to executive leadership and cross-functional stakeholders across CS, Sales,

and Product.

About GlobalLogic

GlobalLogic is a Hitachi Group Company, leader in digital engineering. Based across 14 countries. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise—we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries.

GlobalLogic is operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business